Mobile tag sensing and location estimation
Apparatuses, methods, and systems for estimating a location of a tag are disclosed. One method includes sensing a first condition of a structure, sensing a second condition of the structure, generating a first set of weighted likelihoods based on the first sensed condition of the structure, wherein...
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creator | MOHAN, Tanuj GORDON, Gaile KEAL, William Kerry |
description | Apparatuses, methods, and systems for estimating a location of a tag are disclosed. One method includes sensing a first condition of a structure, sensing a second condition of the structure, generating a first set of weighted likelihoods based on the first sensed condition of the structure, wherein the first set of weighted likelihoods includes a weighted likelihood of the tag being at each one of a plurality of grid points within the structure, generating a second set of weighted likelihoods based on the second sensed condition of the structure, wherein the second set of weighted likelihoods includes a weighted likelihood of the tag being at each one of the plurality of grid points, generating a combined set of likelihoods based on the first set of weighted likelihoods and the second set of weighted likelihoods, and estimating a location of the tag based on the combined set of likelihoods. |
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One method includes sensing a first condition of a structure, sensing a second condition of the structure, generating a first set of weighted likelihoods based on the first sensed condition of the structure, wherein the first set of weighted likelihoods includes a weighted likelihood of the tag being at each one of a plurality of grid points within the structure, generating a second set of weighted likelihoods based on the second sensed condition of the structure, wherein the second set of weighted likelihoods includes a weighted likelihood of the tag being at each one of the plurality of grid points, generating a combined set of likelihoods based on the first set of weighted likelihoods and the second set of weighted likelihoods, and estimating a location of the tag based on the combined set of likelihoods.</description><language>eng</language><subject>ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; GYROSCOPIC INSTRUMENTS ; MEASURING ; MEASURING DISTANCES, LEVELS OR BEARINGS ; NAVIGATION ; PHOTOGRAMMETRY OR VIDEOGRAMMETRY ; PHYSICS ; SURVEYING ; TESTING ; WIRELESS COMMUNICATIONS NETWORKS</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210218&DB=EPODOC&CC=AU&NR=2018345524B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210218&DB=EPODOC&CC=AU&NR=2018345524B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>MOHAN, Tanuj</creatorcontrib><creatorcontrib>GORDON, Gaile</creatorcontrib><creatorcontrib>KEAL, William Kerry</creatorcontrib><title>Mobile tag sensing and location estimation</title><description>Apparatuses, methods, and systems for estimating a location of a tag are disclosed. 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One method includes sensing a first condition of a structure, sensing a second condition of the structure, generating a first set of weighted likelihoods based on the first sensed condition of the structure, wherein the first set of weighted likelihoods includes a weighted likelihood of the tag being at each one of a plurality of grid points within the structure, generating a second set of weighted likelihoods based on the second sensed condition of the structure, wherein the second set of weighted likelihoods includes a weighted likelihood of the tag being at each one of the plurality of grid points, generating a combined set of likelihoods based on the first set of weighted likelihoods and the second set of weighted likelihoods, and estimating a location of the tag based on the combined set of likelihoods.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY GYROSCOPIC INSTRUMENTS MEASURING MEASURING DISTANCES, LEVELS OR BEARINGS NAVIGATION PHOTOGRAMMETRY OR VIDEOGRAMMETRY PHYSICS SURVEYING TESTING WIRELESS COMMUNICATIONS NETWORKS |
title | Mobile tag sensing and location estimation |
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